• DocumentCode
    294755
  • Title

    A method for realization of an ARMAX lattice filter

  • Author

    Haseyama, Miki ; Aketa, Yoshihiro ; Kitajima, Hideo

  • Author_Institution
    Fac. of Eng., Hokkaido Univ., Sapporo, Japan
  • Volume
    3
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    1705
  • Abstract
    This paper proposes a method for realization of an ARMAS lattice filter. The ARMAX (autoregressive moving average model with exogenous variable) model identification is significant because the ARMAX model is a standard tool in the control field, and it can be performed by the proposed algorithm. One of the recursive least-square methods for the ARMAX model identification is the ELS (extended least squares). Applied to the ARMAX model identification, the ELS uses o(N2) multiplications, where NΔ=AR order+MA order+X order. When the proposed realization method of the ARMAX lattice filter is used, o(M) multiplications are needed for the ARMAX model identification, where MΔ=max{AR, order, MA order, X order}
  • Keywords
    autoregressive moving average processes; filtering theory; lattice filters; least squares approximations; recursive estimation; ARMAX lattice filter; ARMAX model; ARMAX model identification; extended least squares; multiplications; recursive least-square methods; Adaptive filters; Autoregressive processes; Lattices; Least squares methods; Linear systems; Parameter estimation; Signal processing; Signal processing algorithms; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479934
  • Filename
    479934